Blasting is one of the most important operations in the mining projects. Inappropriate blasting pattern may lead to unwanted events such as poor fragmentation, back break, fly rock etc. and affect the whole operation physically and economically. In fact selecting of the most suitable pattern among previously performed patterns can be considered as a Multi Attribute Decision Making (MADM) problem. In this paper, firstly, from various already performed patterns, efficient and inefficient patterns were differentiated using Data Envelopment Analysis (DEA). In the second step numerical Taxonomy method was used for ranking the remaining efficient patterns and recognizing the most suitable pattern in the Sungun copper mine, Iran. According to the obtained results, blasting pattern with burden of 3 m, spacing of 4 m and stemming of 3.2 m was selected as the best pattern and suggested to be considered for the future operation.
